def do_update_story( ctx: ActorContext, feed_id: T.int, offset: T.int, content: T.str, summary: T.str, has_mathjax: T.bool.optional, url: T.url, ): story = STORY_SERVICE.get_by_offset(feed_id, offset, detail=True) if not story: LOG.error('story#%s,%s not found', feed_id, offset) return if not is_fulltext_content(content): story_text = processor.story_html_to_text(story.content) text = processor.story_html_to_text(content) if not is_summary(story_text, text): msg = 'fetched story#%s,%s url=%r is not fulltext of feed story content' LOG.info(msg, feed_id, offset, url) return data = dict( link=url, content=content, summary=summary, has_mathjax=has_mathjax, ) STORY_SERVICE.update_story(feed_id, offset, data) _detect_story_images(ctx, story)
def do_update_story( ctx: ActorContext, story_id: T.int, content: T.str, summary: T.str, has_mathjax: T.bool.optional, url: T.url, ): story = Story.objects.get(pk=story_id) if not is_fulltext_content(content): story_text = processor.story_html_to_text(story.content) text = processor.story_html_to_text(content) if not is_summary(story_text, text): msg = 'fetched story#%s url=%r is not fulltext of feed story content' LOG.info(msg, story_id, url) return with transaction.atomic(): story.refresh_from_db() story.link = url story.content = content story.summary = summary if has_mathjax is not None: story.has_mathjax = has_mathjax story.save() _detect_story_images(ctx, story)
def do_process_story_webpage( ctx: ActorContext, feed_id: T.int, offset: T.int, url: T.url, text: T.str.maxlen(_MAX_STORY_HTML_LENGTH), num_sub_sentences: T.int.optional, ) -> SCHEMA_FETCH_STORY_RESULT: # https://github.com/dragnet-org/dragnet # https://github.com/misja/python-boilerpipe # https://github.com/dalab/web2text # https://github.com/grangier/python-goose # https://github.com/buriy/python-readability # https://github.com/codelucas/newspaper DEFAULT_RESULT = dict(feed_id=feed_id, offset=offset, url=url) text = text.strip() if not text: return DEFAULT_RESULT text = story_html_clean(text) content = story_readability(text) content = process_story_links(content, url) content_info = StoryContentInfo(content) text_content = shorten(content_info.text, width=_MAX_STORY_CONTENT_LENGTH) num_sentences = len(split_sentences(text_content)) if len(content) > _MAX_STORY_CONTENT_LENGTH: msg = 'too large story#%s,%s size=%s url=%r, will only save plain text' LOG.warning(msg, feed_id, offset, len(content), url) content = text_content # 如果取回的内容比RSS内容更短,就不是正确的全文 if num_sub_sentences is not None: if not is_fulltext_content(content_info): if num_sentences <= num_sub_sentences: msg = 'fetched story#%s,%s url=%s num_sentences=%s less than num_sub_sentences=%s' LOG.info(msg, feed_id, offset, url, num_sentences, num_sub_sentences) return DEFAULT_RESULT summary = shorten(text_content, width=_MAX_STORY_SUMMARY_LENGTH) if not summary: return DEFAULT_RESULT result = dict( **DEFAULT_RESULT, content=content, summary=summary, sentence_count=num_sentences, ) if not ctx.message.is_ask: ctx.hope('harbor_rss.update_story', result) return result
def do_process_story_webpage( ctx: ActorContext, story_id: T.int, url: T.url, text: T.str.maxlen(_MAX_STORY_HTML_LENGTH), num_sub_sentences: T.int.optional, ): # https://github.com/dragnet-org/dragnet # https://github.com/misja/python-boilerpipe # https://github.com/dalab/web2text # https://github.com/grangier/python-goose # https://github.com/buriy/python-readability # https://github.com/codelucas/newspaper text = text.strip() if not text: return text = story_html_clean(text) content = story_readability(text) content = process_story_links(content, url) if len(content) > _MAX_STORY_CONTENT_LENGTH: msg = 'too large story#%s size=%s url=%r, will only save plain text' LOG.warning(msg, story_id, len(content), url) content = shorten(story_html_to_text(content), width=_MAX_STORY_CONTENT_LENGTH) # 如果取回的内容比RSS内容更短,就不是正确的全文 if num_sub_sentences is not None: if not is_fulltext_content(content): num_sentences = len(split_sentences(story_html_to_text(content))) if num_sentences <= num_sub_sentences: msg = 'fetched story#%s url=%s num_sentences=%s less than num_sub_sentences=%s' LOG.info(msg, story_id, url, num_sentences, num_sub_sentences) return summary = shorten(story_html_to_text(content), width=_MAX_STORY_SUMMARY_LENGTH) if not summary: return ctx.hope( 'harbor_rss.update_story', dict( story_id=story_id, content=content, summary=summary, url=url, ))
def test_is_fulltext_content(name, expect_is_fulltext): html = (_data_dir / f'{name}.html').read_text() html = _clean_story_html(html, readability=name.endswith('web')) got = is_fulltext_content(StoryContentInfo(html)) assert got == expect_is_fulltext
def _is_fulltext_story(story): if story.iframe_url or story.audio_url or story.image_url: return True return is_fulltext_content(StoryContentInfo(story.content))
def is_fulltext_story(story): if story.iframe_url or story.audio_url: return True return is_fulltext_content(story.content)